Python: machine learning in text processing
The training provides practical knowledge in the use of machine learning in text processing tasks using Python and its ecosystem of libraries. The program focuses on the implementation of various ML algorithms in the context of natural language analysis, from classical approaches to modern deep learning techniques. Classes are conducted in the form of workshops, where participants work on real projects, learning the entire process - from data preparation, to model training, to evaluation and implementation. Special emphasis is placed on the practical aspects of selecting and tuning models for specific NLP tasks.
Issues
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Text representation in ML
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Feature engineering for text
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Classic ML algorithms
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Word embeddings
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Neural networks
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Transfer learning
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Ensemble methods
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Text classification
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Sentiment analysis
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Information extraction
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Optimization of models
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Production deployment
Benefits
- Upon completion of the training, the participant will be able to effectively use machine learning techniques in text processing tasks
- The ability to implement and optimize ML models for a variety of NLP applications
- He will be able to select appropriate algorithms and architectures for specific language problems
- Will learn to prepare text data for machine learning and evaluate the quality of models
- Will master knowledge transfer and collaborative learning techniques in the context of NLP
- Will gain practical experience in implementing language models in a production environment
Who is this training for?
Prerequisites
- Knowledge of programming in Python
- Fundamentals of machine learning
- Experience in working with data
- Understanding the basics of NLP
Training program
Text representation for machine learning
- Preprocessing and feature engineering
- Classic ML algorithms in NLP
- Evaluation of language models
Advanced techniques
- Word embeddings and their uses
Neural networks in NLP
- Transfer learning
- Ensemble learning in text tasks
- Implementation of solutions
- Text classification and categorization
- Sentiment and emotion analysis
Information extraction
- Question-answer systems
- Optimization and implementation
Hyperparameter tuning
- Performance optimization
Deployment of models
- Monitoring in production
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Python: machine learning in text processing training for?
This training is designed for professionals looking to develop skills in python: machine learning in text processing. Required level: intermediate.
How long is the Python: machine learning in text processing training?
The training lasts 3. Available in online or on-site format.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
Up to 80% funding for SMEs from EU funds
Check availabilityNational Training Fund
Up to 100% funding for employers
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Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.